The following are my PhD publications. For more up-to-date research in my lab, please visit the Precognition Lab website.
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The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang, Lu Jiang, Kevin Murphy, Ting Yu, Alexander Hauptmann
CVPR 2020
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Peeking into the Future: Predicting Future Person Activities and Locations in Videos
Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
CVPR 2019 (Translated and reported by multiple Chinese media (量子位 & 机器之心, 02/13/2019), with 30k+ views in a week.)
#1 Tensorflow-based code on PaperWithCode in Trajectory Prediction task.
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Multi-dataset Training of Transformers for Robust Action Recognition
Junwei Liang, Enwei Zhang, Jun Zhang, Chunhua Shen
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Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval
Chengzhi Lin, Ancong Wu, Junwei Liang, Jun Zhang, Wenhang Ge, Wei-Shi Zheng, Chunhua Shen
NeurIPS 2022
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Stargazer: A transformer-based driver action detection system for intelligent transportation
Junwei Liang, He Zhu, Enwei Zhang, Jun Zhang
CVPRW 2022
#2 (out of 150 teams) on the public leaderboard of the Naturalist Driver Action Recognition Task - AI City Challenge @ CVPR 2022.
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MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos
Xiaoyu Zhu, Junwei Liang, Alexander Hauptmann
WACV 2021
Reported by CMU news
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SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
Junwei Liang, Lu Jiang, Alexander Hauptmann
ECCV 2020
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Shooter Localization Using Social Media Videos
Junwei Liang, Jay Aronson, Alexander Hauptmann
ACM Multimedia (MM) 2019
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Focal Visual-Text Attention for Memex Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao, Yannis Kalantidis, Li-Jia Li, and Alexander Hauptmann
TPAMI 2019
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Focal Visual-Text Attention for Visual Question Answering
Junwei Liang, Lu Jiang, Liangliang Cao, Li-Jia Li, and Alexander Hauptmann
CVPR 2018 (Spotlight Paper, 6.8% acceptance rate)
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An Event Reconstruction Tool for Conflict Monitoring Using Social Media
Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, and Alexander Hauptmann
AAAI 2017 Demo
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Webly-Supervised Learning of Multimodal Video Detectors
Junwei Liang, Lu Jiang, and Alexander Hauptmann
AAAI 2017 Demo
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Learning to Detect Concepts from Webly-Labeled Video Data
Junwei Liang, Lu Jiang, Deyu Meng, and Alexander Hauptmann
IJCAI 2016
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Video Description Generation using Audio and Visual Cues
Qin Jin, and Junwei Liang
ICMR 2016
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Temporal Localization of Audio Events for Conflict Monitoring in Social Media
Junwei Liang, Lu Jiang and Alexander Hauptmann
ICASSP 2017